Paper：Learning from Imbalanced Data - by H He et al.
論文鏈接：Learning from Imbalanced Data 一、基本概念 1、類間不平衡 VS. 類內不平衡 類間不平衡：不同類別之間的數據量相差較大。 類內不平衡：某一個類分佈成多個小聚類，每個小聚類數據量相差較大。 如下圖： 圖(a)中圓形和五角星代表2個不同的類，他們的數目量相差較大，因此屬於類間不平衡。 圖(b)中：A代表圓形類中數量較大的圓形集合，D代表圓形類中數量較小的圓形集
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相關文章
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